TY - GEN
T1 - Service provisioning update scheme for mobile application users in a cloudlet network
AU - Huang, Huawei
AU - Guo, Song
PY - 2017/7/28
Y1 - 2017/7/28
N2 - Cloudlet based network provides a platform to offloading the traffic workload generated by mobile devices. It can significantly reduce the access delay for mobile application users. However, the high dynamic mobility of users brings significant challenges to the service provisioning for mobile applications, especially for the delay-sensitive big data applications. To increase the overall admitted traffic served by local cloudlets, and to reduce the access delay as well as the virtual-machine migration delay, this paper aims to study the adaptively service-provisioning update scheme for a given group of mobile users under a cloudlet-based network. A profit maximization problem is first formulated as an integer linear programming using absolute value manipulation techniques. Then, we propose a framework of heuristic algorithms to solve this problem. The numerical simulation results demonstrate the efficiency of the proposed algorithms.
AB - Cloudlet based network provides a platform to offloading the traffic workload generated by mobile devices. It can significantly reduce the access delay for mobile application users. However, the high dynamic mobility of users brings significant challenges to the service provisioning for mobile applications, especially for the delay-sensitive big data applications. To increase the overall admitted traffic served by local cloudlets, and to reduce the access delay as well as the virtual-machine migration delay, this paper aims to study the adaptively service-provisioning update scheme for a given group of mobile users under a cloudlet-based network. A profit maximization problem is first formulated as an integer linear programming using absolute value manipulation techniques. Then, we propose a framework of heuristic algorithms to solve this problem. The numerical simulation results demonstrate the efficiency of the proposed algorithms.
UR - http://www.scopus.com/inward/record.url?scp=85028332087&partnerID=8YFLogxK
U2 - 10.1109/ICC.2017.7996725
DO - 10.1109/ICC.2017.7996725
M3 - Conference article published in proceeding or book
AN - SCOPUS:85028332087
T3 - IEEE International Conference on Communications
BT - 2017 IEEE International Conference on Communications, ICC 2017
A2 - Debbah, Merouane
A2 - Gesbert, David
A2 - Mellouk, Abdelhamid
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Communications, ICC 2017
Y2 - 21 May 2017 through 25 May 2017
ER -